A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification | |
Bi, Haixia; Sun, Jian; Xu, Zongben | |
刊名 | IEEE Transactions on Geoscience and Remote Sensing |
2019 | |
卷号 | 57页码:2116-2132 |
关键词 | Convolutional Neural Networks (CNN) Graph model Image edge detection Polarimetric synthetic aperture radars Prediction algorithms Semi-supervised method Task analysis |
ISSN号 | 0196-2892 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2828380 |
专题 | 西安交通大学 |
推荐引用方式 GB/T 7714 | Bi, Haixia,Sun, Jian,Xu, Zongben. A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing,2019,57:2116-2132. |
APA | Bi, Haixia,Sun, Jian,&Xu, Zongben.(2019).A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification.IEEE Transactions on Geoscience and Remote Sensing,57,2116-2132. |
MLA | Bi, Haixia,et al."A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification".IEEE Transactions on Geoscience and Remote Sensing 57(2019):2116-2132. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论